Python · Apache-2.0
RegiaYoung/SlideFormer
An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU (DAC ‘26)
★ 138
Stars
5 forks · 0 open issues
−1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
20.5
Momentum / 100
see the breakdown below
8mo ago
Created
last push 11d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | −1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 14.3 | last push 11d ago; decays to zero at 180 days |
| Scale | 15 | 6.2 | 138 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 20.5 | sum of the above |
Detail
| Topics | cpu-offloadfine-tuningheterogeneous-systemsllmnvme-storagepytorch |
| Matched on | LLM & Inference (fine-tuning) |
| Short window | +-1 stars over 7 days = -0.1/day |
| Long window | +-10 stars over 26 days = -0.4/day |
| Lifetime average | 0.54 stars/day over 254 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |